March 9, 2010 Inflation Expectations and the Conduct of Monetary Policy: A Review of Recent Evidence and Experience Bank of Canada Review - Spring 2010 Rose Cunningham, Brigitte Desroches, Eric Santor This article explores the role of inflation expectations in the conduct of monetary policy. It reviews the various measures of inflation expectations used by central banks, including surveys and market-based indicators, and considers their advantages and disadvantages. It examines the critical role of inflation expectations in the framework that central banks use to understand, forecast, and control inflation. It also looks at their role as an indicator of central bank credibility. The behaviour of inflation expectations over the past two years is analyzed and policy conclusions are offered. Content Type(s): Publications, Bank of Canada Review articles
Canadian Bank Notes and Dominion Notes: Lessons for Digital Currencies Staff working paper 2017-5 Ben Fung, Scott Hendry, Warren E. Weber This paper studies the period in Canada when both private bank notes and government-issued notes (Dominion notes) were simultaneously in circulation. Because both of these notes shared many of the characteristics of today's digital currencies, the experience with these notes can be used to draw lessons about how digital currencies might perform. Content Type(s): Staff research, Staff working papers JEL Code(s): E, E4, E41, E42, E5, E58 Research Theme(s): Money and payments, Cash and bank notes, Digital assets and fintech
May 14, 2015 Inflation Dynamics in the Post-Crisis Period Bank of Canada Review - Spring 2015 Christian Friedrich, Marc-André Gosselin Inflation rates in advanced economies experienced two consecutive puzzles during the period following the global financial crisis—unexpectedly high inflation from the end of 2009 to 2011 and unexpectedly low inflation from 2012 to the middle of 2014. We investigate these developments in two ways. First, we show that accounting for inflation expectations by households explains a significant share of the inflation puzzles at the international level. Second, we find that, for Canada, elevated competition in the retail sector is also important for understanding inflation dynamics in the post-crisis period. Content Type(s): Publications, Bank of Canada Review articles JEL Code(s): E, E3, E31, E5, F, F4, F41
On the Nexus of Monetary Policy and Financial Stability: Is the Financial System More Resilient? Staff discussion paper 2016-12 Patricia Palhau Mora, Michael Januska Monetary policy and financial stability are closely intertwined, and the resilience of the financial system carries weight in this relationship. This paper explores whether the financial system is more resilient as a result of the G20’s post-crisis agenda for financial regulatory reform. Content Type(s): Staff research, Staff discussion papers JEL Code(s): E, E5, E52, G, G0, G01, G2, G21, G23, G28 Research Theme(s): Financial system, Financial stability and systemic risk, Financial system regulation and oversight, Monetary policy, Monetary policy framework and transmission
November 15, 2012 Access, Competition and Risk in Centrally Cleared Markets Bank of Canada Review - Autumn 2012 Jean-Sébastien Fontaine, Héctor Pérez Saiz, Joshua Slive Central counterparties can make over-the-counter markets more resilient and reduce systemic risk by mitigating and managing counterparty credit risk. These benefits are maximized when access to central counterparties is available to a wide range of market participants. In an over-the-counter market, there is an important trade-off between risk and competition. A model of an over-the-counter market shows how risk and competition could be influenced by the incentives of market participants as they move to central clearing. In a centrally cleared market, there may be less risk when participation is high. This helps to explain why regulators have put in place requirements for fair, open and risk-based access criteria. Content Type(s): Publications, Bank of Canada Review articles JEL Code(s): G, G1, G18, G2, G21, L, L1, L13
Good Volatility, Bad Volatility and Option Pricing Staff working paper 2017-52 Bruno Feunou, Cédric Okou Advances in variance analysis permit the splitting of the total quadratic variation of a jump diffusion process into upside and downside components. Recent studies establish that this decomposition enhances volatility predictions, and highlight the upside/downside variance spread as a driver of the asymmetry in stock price distributions. Content Type(s): Staff research, Staff working papers JEL Code(s): G, G1, G12 Research Theme(s): Financial markets and funds management, Market functioning, Models and tools, Econometric, statistical and computational methods
Interpreting Volatility Shocks as Preference Shocks Staff working paper 2016-45 Shaofeng Xu This paper examines the relationship between volatility shocks and preference shocks in an analytically tractable endogenous growth model with recursive preferences and stochastic volatility. I show that there exists an explicit mapping between volatility shocks and preference shocks, and a rise in volatility generates the same impulse responses of macroeconomic aggregates as a negative preference shock. Content Type(s): Staff research, Staff working papers JEL Code(s): E, E2, E3 Research Theme(s): Models and tools, Economic models, Monetary policy, Real economy and forecasting
December 9, 2010 Contingent Capital and Bail-In Debt: Tools for Bank Resolution Financial System Review - December 2010 Chris D'Souza, Liane Orsi, Toni Gravelle, Walter Engert Content Type(s): Publications, Financial System Review articles
June 21, 2006 Bank of Canada Review - Summer 2006 Cover page Irish Gun Money The coins pictured on the cover are part of the National Currency Collection of the Bank of Canada. Photography by Gord Carter Content Type(s): Publications, Bank of Canada Review
Machine learning for economics research: when, what and how Staff analytical note 2023-16 Ajit Desai This article reviews selected papers that use machine learning for economics research and policy analysis. Our review highlights when machine learning is used in economics, the commonly preferred models and how those models are used. Content Type(s): Staff research, Staff analytical notes JEL Code(s): A, A1, A10, B, B2, B23, C, C4, C45, C5, C55 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Structural challenges, Digitalization and productivity